Abstract
31
32
There is a pressing need for an in -depth understanding of immunity to SARS-CoV-2. Here we 33
investigated T cell recall responses to fully glycosylated Spike trimer, recombinant N protein as 34
well as to S, N, M and E peptide pools in the early convalescent phase. All subjects showed SARS-35
CoV-2-specific T cell responses to at least one antigen. SARS-CoV-2-specific CD4+ T cells were 36
primarily of the central memory phenotype and exhibited a lower IFN-g to TNF-a ratio compared 37
to influenza-specific responses of the same donors, independent of disease severity. SARS-CoV-38
2-specific T cells were less multifunctional than influenza -specific T cells, particularly in severe 39
cases, potentially suggesting exhaustion. High IL -10 production was noted in response to N 40
protein, possibly contributing to immunosuppression, with potential implications for vaccine 41
design. We observed granzyme B +/IFN-g+ CD4+ and CD8+ proliferative responses to peptide 42
pools in most individuals, with CD4+ responses predominating over CD8+ responses. Peripheral 43
T follicular helper responses to S or N strongly correlated with serum neutralization assays as well 44
as RBD-specific IgA. Overall, T cell responses to SARS-CoV-2 are robust, however, CD4+ Th1 45
responses predominate over CD8 + responses and are more inflammatory with a weaker Tfh 46
response than influenza-specific CD4+ responses, potentially contributing to COVID-19 disease. 47
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3
The disease COVID-19, caused by the novel coronavirus (CoV), SARS-CoV-2, emerged in China 48
in late 2019 and is currently causing a devastating pandemic (1-3). Despite the severity of the 49
disease in some individuals, the vast majority of infected people recover, indicating that they have 50
made an effective immune response that clears the virus. Moreover, studies in rhesus macaques 51
demonstrate that SARS-CoV-2 induces protective immunity against rechallenge at least out to 35 52
days (4, 5). Adaptive immunity, mounted by T and B lymphocytes, is critical for clearance of viral 53
infections and for protec tion against reinfection. Most studies to date show that people infected 54
with SARS -CoV-2 produce Spike (S) and receptor binding domain (RBD) specific-IgG and 55
neutralizing antibodies within two to four weeks of infection (6-13). Although some studies have 56
suggested that antibody responses of people with mild or no symptoms can fall off rapidly (7, 14, 57
15), other studies suggest IgG responses are relatively stable over the first 3-4 months, with peak 58
responses followed by a gr adual decline as observed in a normal IgG response (13, 16, 17) . In 59
contrast, IgA responses to SARS -CoV-2 start early and decay rapidly (17). In the absence of 60
complete virus neutralization, T cells are critical for eliminating virus -infected cells. Moreover, 61
CD4+ T cell responses , and in particular T follicular helper (Tfh) responses , are critical for 62
generation of high affinity long -lived antibody responses (18). Follow-up studies of the SARS -63
CoV-1 outbreak in 2003 showed that antibody responses fell off substantially between 3 and 5 64
years in most individuals (19), whereas T cell responses could be detected for more than 11 years 65
(20). Moreover, nucleocapsid (N)-reactive T cells in SARS-CoV-1 recovered patients at 17 years 66
post-infection showed substantial cross-reactivity to SARS-CoV-2 N peptides (21). Thus, T cells 67
likely represent an important part of protective immunity to SARS-CoV-2. 68
69
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4
Several studies have examined T cell responses to SARS -CoV-2 with most studies using 70
restimulation with overlapping peptide pools from several SARS-CoV-2 open reading frames (21-71
28). Responses to restimulation with intact N, S-RBD domain and protease proteins have also been 72
reported (11). The studies to date have used a variety of readouts to determine T cell spe cificity 73
including activation markers, intracellular cytokine production, IFN-g EliSpot or measurements of 74
cytokines in the supernatants by multiplex assays. In general, the majority of confirmed SARS-75
CoV-2 cases have shown CD4+ and CD8+ T cell responses to SARS-CoV-2 antigens in the acute 76
and early convalescent phase, dominated by a Th1 response with some studies also reporting Th2 77
or Th17 responses (reviewed in (29)). CD8+ T cell responses have also been detected in the 78
majority of, but not all, donors. There is also evidence of cross-reactive T cells in 20-50% of donors 79
who donated blood pre -pandemic. The se cross -reactive responses are to peptides conserved 80
between seasonal coronaviruses and SARS-CoV-2 (21, 22, 28, 30, 31). 81
82
Given the consistent findings of Th1 and CD8+ T cell responses in the acute and early convalescent 83
stage of SARS-CoV2, often with the strongest responses detected in the more severe cases, it is 84
not yet clear why the immune system fails to rapidly control the virus in some patients. Here we 85
undertook a systematic functional examination of T cell responses to SARS-CoV-2 in a cohort of 86
13 SARS-COV-2 recovered individuals with a range of diseas e severity who provided 87
leukapheresis samples in the early convalescent phase (4-12 weeks). Specifically, we examined T 88
cell phenotype, cytokine production, and proliferation to SARS-CoV-2 proteins and peptides and 89
compared them to seasonal influenza responses. We also identified peripheral T follicular (pTfh) 90
IL-2 producing CCR7+CXCR5+ cells in response to SARS-CoV-2 antigens in some donors and 91
found that the frequency of these cells strongly correlated with serum neutralization assays and 92
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5
RBD-specific IgA but were less frequent than those observed in response to influenza . Our study 93
reveals new insights into the recall response of SARS -Cov-2 in the early convalescent phase, 94
highlighting that SARS-CoV-2-specific CD4+ T cell responses are more inflammatory and show 95
a weaker pTfh response than influenza A-specific CD4+ recall responses within the same donors. 96
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6
Results
97
Patient characteristics 98
Thirteen COVID-19 convalescent donors who had recently tested positive for SARS -CoV-2 by 99
PCR, and a single SARS -CoV-1 patient from 2003 were consented for leukapheresis to obtain 100
plasma and PBMC (Table 1). Samples for SARS-CoV-2 convalescent individuals were collected 101
from 27 days to 90 days post onset of sym ptoms. Disease severity ranged from asymptomatic, 102
mild (non-hospitalized), moderate (hospitalized not ICU) to severe (ICU). The average age was 103
53 (range 31-72), and 8 out of 13 were male (Table I). 104
105
Ex vivo i ntracellular cytokine responses to Spike and N proteins in convalescent COVID-19 106
patients 107
To date, most studies have used overlapping peptide pools to assess antigen -specific T cell 108
responses to SARS-CoV-2. Here we used intact glycosylated S from SARS-CoV-2 and seasonal 109
human CoV-OC43 (OC43), as well as recombinant E. coli expressed SARS-CoV-2 N to determine 110
how T cells respond functionally to SARS-CoV-2 under conditions where antigen processing is 111
required. Intracellular cytokine staining (ICC) of ex vivo PBMC was conducted to determine the 112
frequency of IFN-g, TNF-α and IL-2-producing cells, with the gating strategy shown in Figure 113
S1A. Following 18hrs of stimulation, with Golgi Stop and GolgiPlug added for the last 6 hrs, 114
SARS-CoV-2 S-specific CD4+ T cells were detected in 54% of donors based on IFN-g production, 115
75% of donors based on TNF-α production and 85% of donors based on IL -2 production. N -116
specific CD4+ T cells were detected in 38% of donors based on IFN-g, 58% based on TNF-α, and 117
54% of donors based on IL -2 production (Figure 1A-C, Table I S1). Overall, 92% of donors 118
showed a specific CD4+ T cell response to at least one SARS-CoV-2 protein based on production 119
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of at least one cytokine , where a positive response was defined as a 10% increase over control 120
stimulated samples (Table SI). No responses were detected to OC43 spike protein by ICC in the 121
same donors ( Figure S1B ), whereas 100% of donors produced cytokines in response to 122
PMA/ionomycin (Figure S1B). We did not observe cytokine production in CD8+ T cells from any 123
of the donors, albeit CD8+ T cells from all donors responded to influenza A/PR8/34 virus (PR8) 124
as well as to PMA/ionomycin (data not shown). This is likely because CD8+ T cells respond poorly 125
to whole protein antigens. Taken together, our data show that the vast majority of SARS -CoV-2 126
convalescent individuals have recall CD4+ responses to SARS -CoV-2 S or N proteins at 4 -10 127
weeks after initial symptoms, with IL-2 and TNF-a predominating over IFN-g. 128
129
Comparison of the CD4+ T cell response to S ARS-CoV-2 versus Influenza A virus by 130
multiparameter flow cytometry 131
As most adults are expected to have memory T cells specific for seasonal influenza virus, we 132
compared recall responses to influenza A/PR8/34 H1N1 virus (PR8) for all donors. 92% of SARS-133
CoV-2 convalescent patient samples showed strong CD4+ recall responses to PR8 stimulation 134
based on IFN-g producing T cells and the frequency of these responding cells was substantially 135
higher than responses to S and N proteins (Figure 1A). This was not due to insufficient S protein, 136
as increasing the dose from 1 to 5 µg per ml did not increase the frequency of responses (Figure 137
S2A). We also obtained similar responses using trivalent inactivated seasonal influenza vaccine 138
(TIV), which contains only influenza proteins (Figure S2B). Thus, the weaker response to SARS-139
CoV-2 S protein compared to influenza proteins is unlikely due to the use of live influenza virus 140
versus recombinant SARS-CoV-2 proteins, albeit it could be impacted by an incomplete set of 141
SARS-CoV-2 epitopes covered by including only 2 of the SARS-CoV-2 proteins. Some human T 142
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cell studies use costimulation with anti-CD49d and anti -CD28 to increase the sensitivity of 143
detection with ICC (32), however we found no difference in the frequency of response to S with 144
or without additional costimulation (Figure S2C). We also repeated the assays 3 times for 2 of the 145
donors and obtained a similar frequency of responding T cells each time (Figure S2D). In contrast 146
to the results wi th SARS-CoV-2 convalescent patients, PBMC collected from healthy donors in 147
early March 2020 did not show detectable T cell responses to S, N or OC43 S whole proteins, 148
albeit all the healthy donors responded to PR8 (Figure S3). As will be discussed below, the lack 149
of detection of cross-reactivity in healthy donors may reflect the relative insensitivity of the ICC 150
assay compared to other methods of detecting cross-reactivity. 151
152
Analysis of T cell production of multiple cytokines showed that 80% of S -specific CD4+ T cells 153
produced only 1 cytokine . Influenza-specific CD4+ T cell responses were more multifunctional, 154
with 8.7% of PR8-specific CD4+ T cells as compared to 3.4% of S-specific T cells producing all 155
3 cytokines ( Figure 2A). We also noted that the ratio of IFN-g to TNF-α producing cells was 156
significantly higher among the PR8-specific CD4+ T cells than the S-specific CD4+ T cells 157
(Figure 2B) and this was independent of disease severity. 158
159
Analysis of CD27 and CD45RA expression on the S-specific and PR8-specific TNF-α-producing 160
CD4+ T cells indicated that the responding T cells were predominantly central memory T cells 161
(Figure 2C ). The activation markers HLA -DR and 4 -1BB are frequently used to determine 162
specific recall responses. Based on these markers, 100% of donors responded to influenza PR8, 163
whereas 69% responded to Spike and 85% to N. Examination of HLA- DR/4-1BB double positive 164
cells for cytokine production showed some discordance between activation markers and cytokine 165
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producing cells (Figure 2D), with neither approach identifying 100% of the responding CD4+ T 166
cells. 167
168
Although there appeared to be a trend towards higher respon ses in donors with severe illness in 169
the first 4 weeks, using either activation markers and/or production of cytokines as a measure of 170
response, differences in ICC response based on disease severity were not significant (Figure 2E). 171
Taken together, our dat a show that SARS-CoV-2-specific T cells from patients in the early 172
convalescent phase are largely of the Tcm phenotype and respond to S and N proteins with a higher 173
ratio of TNF-a:IFN-g producing cells compared to the response to influenza virus, which shows a 174
more typical anti-viral IFN-g dominant response. 175
176
Recall responses of SARS-CoV-2 convalescent PBMC based on cytokine secretion 177
To further analyze cytokine production during recall responses to SARS -CoV-2 we collected 178
supernatants from ex vivo PBMC 48hrs post-stimulation with S, N or influenza PR8 by multiplex 179
bead array analysis of 13 cytokines (Figures 3, S4). 92% of SARS-CoV-2 convalescent donors 180
showed IFN-g production in response to SARS-CoV-2 S, whereas 100% showed IFN-g responses 181
to SARS-CoV-2 N and PR8, albeit the median level of IFN-γ in response PR8 was higher than that 182
observed in response to SARS-CoV-2 N or S (Figure 3A, S4A). 100% of patient PBMC produced 183
specific TNF-α responses in response to N, whereas 50% produced TNF -α in response to Spike 184
and 92% in response to PR8. N-specific responses showed substantially higher TNF-α responses 185
than S or PR8-specific responses (Figure 3B, S4A). IL-2 was produced in response to S or PR8, 186
but not in response to N -stimulation, whereas IL-10 was produced in all cases, albeit the highest 187
amount of IL -10 was observed in the N -stimulated cult ures (Figure 3 C, D , S4A ). IL -13 was 188
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produced in response to S and PR8, but not N, whereas IL -6 was only observed with S and N 189
restimulation and not with PR8 (Figure 3 E, F). Similar to our findings with ICC, the ratio of IFN-190
g to TNF-α or IL-10 was highest in cultures stimulated with Influenza A virus (Figure 3G). We 191
did not detect IL-4, 5 or 17F in any of the cultures (data not shown). IL-9 and 17A were detected 192
in some cultures but did not show consistent increases with S or N stimulation, whereas IL-22 was 193
produced in response to S stimulation for some donors ( Figure S4 B). Healthy donor PBMC 194
produced IL-6, 10, IFN-g and TNF-α in response to N but not S proteins (Figure S4C). Stimulation 195
of SARS -CoV-2 convalescent PBMC as well as healthy donor PBMC with OC43 S protein 196
resulted in induction of IFN-g, TNF-a, IL-10 and IL-6, but not IL-2 (Figure S5A, B). 197
198
Overall, the multiplex cytokine assays show a predominant Th1 profile based on restimulation 199
with SARS-CoV-2 or seasonal hCoV-OC43 S protein, as well as reactivity of healthy donor PBMC 200
to SARS-CoV-2 N and OC43 S protein. SARS-CoV-2 convalescent patients’ PBMC showed a 201
lower IFN -γ to TNF -α or IFN -γ to IL -10 in response to SARS-CoV-2 proteins compared to 202
influenza virus restimulation. Particularly striking was the consistent and high-level production of 203
IL-10 in response to N in all SARS-CoV-2 convalescent PBMC tested. 204
205
Peripheral T follicular helper as well as T effector re sponses to SARS-CoV-2 antigens correlate 206
with serum antibodies and neutralization titers 207
T follicular helper (Tfh) responses are important for the generation of long -lived antibody 208
responses (33). Although fully differentiated Tfh are normally found in the lymphoid organs, their 209
peripheral blood precursors, pTfh, can be detected in the blood based on expression of CCR7 and 210
CXCR5 (34, 35). Here we used expression of IL -2 by ICC combined with CCR7 and CXCR5 211
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expression to detect antigen -specific pTfh cells in SARS -CoV-2 convalescent patient PBMC 212
following restimulation with S, N or PR8 ( Figure 4A). 46% of samples showed S -specific IL-2 213
producing pTfh, 54% N-specific and 100% of PBMC samples showed PR8 -specific pTfh. For 214
samples collected during the first 4 weeks post -symptoms, pTfh responses to S were higher in 215
severe compare to mild cases (Figure 4A, B). We also compared pTfh responses of PBMC from 216
the SARS-CoV-2 convalescent patients with IgG and IgA responses to N and RBD based on serum 217
ELISA (36) and neutralization data (Figure 4C,D). There was a positive correlation between the 218
frequency of IL-2+pTfh and N-specific IgG (R=0.57, p<0.05). The correlation between IL-2+pTfh 219
and RBD -specific IgG showed a similar positive trend (R=0. 29) but did not reach statistical 220
significance. Similarly, no significant correlation with S -specific IgG was observed (data not 221
shown). There was a significant positive correlation between the pTfh response to RBD -specific 222
IgA (R=0.6 6, p< 0.05). There was also a strong correlation between WT SARS -CoV-2 IC50 223
neutralization (modified PRNT assay) by patient sera and the pTfh response (R=0.8 4, p<0.001). 224
Similar correlations were obtained by calculating the area under the curve (AUC) in a surrogate 225
neutralization ELISA with patient sera, human ACE2 and immobilized S-RBD (R=-0.75, p<0.01) 226
(Figure 4E). 227
228
Similarly, there was a positive correlation between the frequency of IL-2+ CD4+ T cells and N-229
specific IgG (R=0.61, p<0.05), and a positive trend between IL-2+ CD4+ T cells and RBD-specific 230
IgG (R=0.36), albeit not significant ( Figure 5A). There was also a positive correlation between 231
IL-2+ CD4+ and RBD-specific IgA (R=0.60, p<0.05) (Figure 5B). A strong positive correlation 232
was also found between virus neutralization and IL-2+ CD4+ T cells (R=0.82, p<0. 001), and 233
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between S -RBD IgG AUC and IL-2+ CD4+ T cells. (Figure 5C). There was also a positive 234
correlation between virus neutralization and disease severity (Figure 5D). 235
236
Thus, pTfh responses can be detected in 6 out of 13 SARS-CoV-2 convalescent PBMC responding 237
to S protein , 7/13 in response to N whereas 13/13 showed a Tfh response to influenza A virus. 238
Both pTfh and T effector responses correlated strongly with the neutralization titers observed in 239
the same donors, with the highest neutralization activity correlating with disease severity. 240
241
CD4+ and CD8+ T cell proliferative responses to peptide pools 242
Much of the published work on SARS-CoV-2 specific T cells has focused on peptide pools and 243
these are more effective in inducing CD8+ recall responses than intact proteins. Therefore, we 244
used peptide pools encompassing the RBD, transmembrane (TM) and cytoplasmic regions of S as 245
well as N, Envelope (E) and Matrix (M) to stimulate PBMC from the same patient samples used 246
for ICC. As T cell proliferation to virus antigens has previously been associated with ability to 247
control the virus (37, 38), we labelled PBMC CFSE and assessed the proliferation of the T cells 248
after 7 days by flow cytometry in response to each peptide pool (Figure 6A, with gating strategy 249
shown in Figure S6). Proliferation responses of total T cells to at least one antigen was observed 250
in 12/13 donors (Table S2). There was considerable variability between donors. Generally, donors 251
who made strong proliferative responses had strong responses to all antigens tested. However, 252
antigen-specific proliferation did not correlate significantly with disease severity (Figure 6B, C, 253
D). We also examined PBMC from a SARS-CoV-1 patient taken 17 years post-illness and 254
observed modest reactivity to the N peptide pool (Figure 6B, C). We next broke down responses 255
into CD4+ and CD8+ T cell responses for each peptide pool. For most subjects and antigens, CD4+ 256
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T cell proliferative responses were substantially higher than CD8+ T cell responses, independent 257
of disease severity (Figure 6E). 258
259
Although CD8+ cytotoxic T cells are classically associated with virus-infected cell killing, CD4+ 260
granzyme+ cytotoxic T cells can be a significant part of the human anti-viral T cell responses (37, 261
39-41). Therefore, we also assessed IFN -g and granzyme B levels by flow cytometry in the 262
CFSElow responding CD4+ and CD8+ T cells (Figure 7A, B). Of note, the samples from subjects 263
with severe and moderate disease tended to have a higher proportion of CD4+ IFN-g/granzyme B 264
co-producing T cells than mild, however this was not universally the case, as we also saw a high 265
proportion of IFN-g/granzyme B expressing T cells in the asymptomatic donor. 266
267
The frequency of proliferating IFN-g/granzyme B co-producing T cells in response to S peptide 268
pools correlated with the frequency of IL-2 producing pTfh in response to intact Spike (Figure 7C) 269
as well as with virus neutralization titers (Figure 7D). In addition, proliferating IFN-g/granzyme B 270
producing cells in response to E or M peptide pools correlated with serum neutralization titers 271
(Figure 7 E, F). Thus, a strong CD4+ response overall, whether based on analysis of whole protein 272
or peptide stimulation, correlates with strong neutralization responses. 273
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Discussion
274
In this study, we have conducted a systematic examination of T cell recall responses in PBMC 275
taken in the early convalescent phase (4-12 weeks post-symptoms) of COVID-19 in response to 276
SARS-CoV-2 recombinant proteins as well as to peptide arrays . The use of recombinant proteins 277
is relevant because it allows us to assess the response in the context of antigen presentation, and 278
the use of the fully glycosylated Spike trimer is important in mimicking the form of antigen that is 279
presented by intact virus. A T cell response was detected in all SARS-CoV-2 convalescent patients, 280
with 92% responding based on ICC responses to recombinant SARS-CoV-2 proteins and 100% 281
responding based on multiplex cytokine assays . CD8+ T cell respon ses were not detected in 282
response to whole protein restimulation by ICC but were identified in 12 out of 13 patients based 283
on proliferation in response to restimulation with peptide pools encompassing N, E, M or S, albeit 284
with varying frequencies. While several other studies have identified Th1 responses in response to 285
SARS-CoV-2 peptide or protein stimulation (11, 23, 25, 27, 29) , our comparison of recall 286
responses to influenza within the same donors highlights some key differences in SARS -CoV-2 287
versus influenza-specific T cell responses. 288
289
Intracellular cytokine staining revealed that SARS-CoV-2-specific CD4+ recall responses exhibit 290
a hierarchy of IL-2>TNF-a>IFN-g, whereas influenza A virus-specific T cells show IFN-g>IL-2> 291
TNF-a based on frequency of cytokine producing cells. This altered Th1 profile in SARS-CoV-2-292
specific T cells could contribute to increased inflammation with poorer viral control compared to 293
influenza virus-specific T cells. It was possible that these differences are due to the use of whole 294
influenza A virus compared to r ecombinant proteins . However, control experiments showed 295
indistinguishable frequencies of responding CD4+ T cells producing IFN -g, TNF -a and IL -2 296
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15
whether samples were restimulated with live influenza virus or with TIV, the inactivated influenza 297
vaccine which is dominated by the hema gglutinin protein. It is unlikely that the altered cytokine 298
response in response to SARS -CoV-2 antigens is driven by disease severity, as mild and severe 299
patients were distributed throughout the plots showing this altered ratio (Fig. 2B, 3G). On the other 300
hand, the lower frequency of multifunctional cells in the SARS -CoV-2 specific as compared to 301
influenza A-specific CD4+ recall responses seems to be heavily weighted by the severe cases (Fig. 302
2B) and could reflect COVID-19-specific exhaustion, as has been suggested by other studies based 303
on activation/exhaustion markers (42, 43). The influenza-specific recall responses we observed are 304
likely due to a lifetime of seasonal exposure and/or vaccination, whereas the SARS -CoV-2- 305
specific responses are more recent. However, it is unlikely that the time since exposure is driving 306
the altered cytokine profile we observe , as the cytokine profile observed in recall responses 307
generally reflects the epigenetic profile imprinted during priming (44). 308
309
Multiplex analysis of cytokines in supernatants of PBMC following SARS -CoV-2 antigen 310
stimulation also revealed lower IFN-g to TNF-a ratios of SARS -CoV-2 compared to influenza -311
specific responses as well as higher levels of IL-10 and IL-6. The ICC flow cytometry assay allows 312
one to clearly identify the source of the cytokines as CD4+ T cells, whereas the multiplex cytokine 313
assay reflects total amount of secreted cytokine and can also reflect cytokines secreted from other 314
cells, such as monocytes or NK cells, in response to the activated T cells. IL-10 can be produced 315
by both T cells and antigen presentin g cells, whereas IL -6 is likely coming from monocytes 316
responding to the activated T cells in the PBMC culture. Particularly striking in our study was the 317
high level of IL-10 detected in the supernatants of N -stimulated cultures, which could contribute 318
to impaired antigen presentation and immunosuppression (45). Further investigation is required to 319
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16
determine whether N-specific responses are immunosuppressive , which would have significant 320
implications for vaccine design. 321
322
A potential caveat to our findings is that we included only 2 of the SARS-CoV-2 proteins in our 323
cytokine analysis and not the full spectrum of SARS -CoV-2 antigens. However, the cytokine 324
profile we observed in the supernatants of S and N stimulated PBMC is quite similar to that 325
reported by Weiskopf et al for SARS -CoV-2 ARDS patient PBMC collected 3 weeks after ICU 326
admission and stimulated with peptide megapeptide pools covering most of the SARS -CoV-2 327
proteins (23). There were, however, some differences noted, such as their detection of IL -17A, 328
which we did not detect in our assays. 329
330
The cytokine profile we detect in the supernatants of SARS -CoV-2 convalescent PBMC after 331
antigen stimulation is similar to the overall cytokine profile reported at the acute phase of infection, 332
including high levels of IL-6, IL-10 and TNF-a (46, 47). This is consistent with the evidence that 333
memory T cells are imprinted by the acute inflammatory milieu (44). Schultheiss et al.(48) recently 334
analyzed total PBMC from SARS -CoV-2 active and early convalescent patients and also noted 335
that total CD4+ T cells showed an altered non-classical Th1 profile, similar to what we observe 336
here with antigen -specific T cell responses. They also noted Th17 responses, which were not 337
consistently observed in the antigen-specific T cells in our cohort. 338
339
Of note, we observed a disconnect between ICC responses and analysis of T cell responses to S 340
and N based on activation markers. This was not unique to SARS-CoV-2, however, as we observed 341
a similar disconnect with influenza A -specific T cell cytokine response and activation markers 342
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17
(data not shown). It is possible that some antigen-specific T cells are not making cytokines in the 343
time frame analyzed or that some of these activation markers are induced on memory T cells by 344
bystander effects (cytokines). We suggest, that functional readouts based on cytokines may be 345
more relevant to understanding protective immunity to SARS -CoV-2 than use of activation 346
markers. 347
348
Peripheral T follicular helper responses (IL-2+CCR7+CXCR5+) were detected in 62% of PBMC 349
after S or N stimulation, and strongly correlated with virus neutralization activity of sera based on 350
neutralization of SARS-CoV-2 as well as a surrogate neutralization ELISA for binding to RBD. 351
The strong correlation with IgA might reflect the recently reported role for IgA in SARS-CoV-2 352
neutralization (49). Our findings are similar to those of Ni et al. (11) who showed a correlation 353
between total N-specific T cells measured by EL ISpot with neutralizing antibody titers. Of note, 354
total T effector responses to N and S as well as IFN -g or IFN-g and granzyme B r esponses to E 355
and M peptide pools also correlated with virus neutralization, suggesting that a strong CD4+ T cell 356
response in general correlated with effective virus neutralization , whether we used peptide pools 357
or intact antigens for these recall assays. Of note, 100% of donors showed pTfh responses to 358
influenza virus and the response was generally of higher frequency . Thus, the Tfh respons e to 359
SARS-CoV-2 in convalescent subjects is weaker than that observed in response to influenza virus 360
restimulation. 361
362
Several recent studies have revealed responses of healthy donors to SARS -CoV-2 peptides (21-363
23, 28, 31). It has also been suggested that prior exposure to seasonal coronaviruses might allow 364
some cross-protective immunity to SARS -CoV-2 (30). Our ICC assays did not reveal responses 365
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18
of SARS -CoV-2 convalescent patients or healthy donors to seasonal OC43 spike protein . 366
However, such responses were detected in supernatants based on the cytokines IFN-g, TNF, IL-6 367
and IL -10, but not IL -2. This may reflect the lower sensitivity of the overnight ICC assay, 368
compared to assessme nt of cyto kines in the supernatant at 48hrs. Healthy donors similarly 369
responded to OC43 spike but with approximately 10 -fold weaker responses than SARS-CoV-2 370
convalescent patients suggesting that recent boosting with SARS -CoV-2 might enhance such 371
responses. Healthy donors also responded to SARS-CoV-2 N but not S based on release of IFN-g, 372
TNF-a and IL-6 in the supernatant. We also detected proliferative responses to the N peptide pool 373
of a SARS-CoV1 patient, 17 years post-illness, similar to results recently reported (21). 374
375
Proliferative responses to SARS-CoV-2 peptide pools showed that CD4+ responses predominated 376
over CD8+ T cell responses, which might contribute to the pathophysiology of COVID19. On the 377
other hand, many of these CD4+ T cells co-produced IFN-g and granzyme B, suggesting cytotoxic 378
potential. As airway epithelial cells, the target of SARS-CoV-2 infection, can express MHC II (50-379
52), these granzyme B positive cells may be relevant to viral control. 380
381
A recent study of early T cell responses to SARS -CoV-2 showed delayed T cell responses, 382
compared to antibody responses in the first two weeks post symptom onset, but with T cell 383
responses increasing at >3 weeks (53). Although we did not do a kinetic analysis, the data on 384
convalescent samples collected at 4-12 weeks post-symptoms, are consistent with a peak response 385
around 4 weeks, and falling off thereafter. Th ese kinetics are similar to what was observed in the 386
recall response to the 2009 influenza virus pandemic, where peripheral blood CD4+ and CD8+ T 387
cell responses to whole H1N1 restimulation peaked at about 3 -4 weeks post symptoms and then 388
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19
fell off gradually (54). We did not see a consistent difference between severe and mild cases in 389
terms of magnitude of the T cell response, albeit this may be limited by sample size. 390
In sum, our study shows robust T cell recall responses in SARS -CoV-2 convalescent subjects at 391
4-12 weeks post-symptoms. Based on proliferation, ICC or multiplex ELISA, all donors showed 392
SARS-CoV-2-specific T cell responses . By 4 weeks post-SARS-CoV-2 infection, most s ubjects 393
exhibit a strong CD4+ Th1 recall response, with a less predominant CD8+ T cell response and an 394
altered cytokine profile with more TNF-a and less IFN-g compared to responses to influenza virus 395
in the same donors. In addition, pTfh responses to SARS-CoV-2 were weaker than that to influenza 396
A virus. SARS-CoV-2 N-specific T cell responses were associated with strong induction of IL-10, 397
suggesting that N protein might contribute to immunosuppression. This could have important 398
implications for vaccine design. Taken together, these results suggest that CD4+ T cell responses 399
are more inflammatory than influenza-specific recall responses and show a weaker Tfh response, 400
potentially contributing to disease. The strong correlation between the N- or S -specific pTfh 401
response or the IFN -g/granzyme B+ proliferative response and neutralization capacity suggests 402
that these responses should be incorporated into vaccine design and testing. 403
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20
Methods
404
Human subjects and study approval 405
Written informed consent was obtained from COVID -19 convalescent and healthy blood donors 406
before leukapheresis or peripheral blood samples were obtained. Individuals with recovered 407
COVID-19 infection that was confirmed by positive nasopharyngeal COVID -19 P CR upon 408
presentation, were leukapheresed after resolution of symptoms through an REB approved protocol 409
(St. Michael's Hospital REB20-044c to MO . Additional healthy donors were recruited at the 410
University of Toronto ( REB# 00027673 to THW) . All human subject s research was done in 411
compliance with the Declaration of Helsinki. 412
413
Human PBMC isolation 414
PBMCs were isolated from whole blood of healthy human donors by density centrifugation using 415
Ficoll-Paque PLUS (GE Healthcare). PBMCs were cryopreserved in 10% DMSO in AIM-V media 416
(Gibco) before use. 417
418
Virus and viral antigens 419
The human codon-optimized cDNA encoding the OC43 spike protein (AAT84354.1) was 420
synthesized by GeneArt. The soluble OC43 spike construct includes residues 15-1295, followed 421
by a T4 fibritin trimerization motif, a TEV cleavage site, and a 6xHis-tag. The 20 amino acid 422
human cystatin secretion signal was added N-terminal to the spike sequence. To stabilize the pre-423
fusion state of the OC43 spike trimer, residues 1070-1071 (AL) were mutated to two proline 424
residues (PP) as described for other spike proteins (55). The human codon-optimized cDNA 425
encoding the SARS-CoV-2 spike protein (YP_009724390) was synthesized by GenScript. The 426
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21
soluble spike trimer construct includes residues 1 -1211, followed by a T4 fibritin trimerization 427
motif, a 6xHis -tag and an AviTag biotinylation motif (56). Residues 682 –685 (RRAR) were 428
mutated to SSAS to remove the fur in cleavage site on the SARS -CoV-2 spike protein. Residues 429
986–987 (KV) were mutated to two proline residues (PP) to stabilize the pre-fusion form. 430
431
The spike proteins were cloned into a piggyBac -based inducible expression vector PB -T-PAF. 432
Inducible stable cell lines were generated in Freestyle 293 -F cells (Thermofisher) as previously 433
described (36, 57). For the OC43 spike protein, the stable cells were grown as an adherent culture 434
in DMEM/F12 medium supplemented with 3% (v/v) FBS. For the SARS-CoV-2 spike protein, the 435
stable cells were grown in suspension culture in Freestyle 293 expression medium (Thermofisher). 436
Protein expression was induced by the addition of 1 µg/mL doxycycline. The secreted proteins 437
were purified from the tissue culture medium using Ni -NTA resin. The proteins were further 438
purified by size-exclusion chromatography using a Superose 6 Increase column (GE healthcare). 439
The quality of the purified spike protein trimers was assessed using negative stain electron 440
microscopy. 441
442
Nucleocapsid1-419 (N) expressed as a N-terminally tagged HIS-GST-TEV fusion was purified from 443
bacteria and kindly provided by Frank Sicheri, Mt. Sinai Hospital, as described in (17). 444
445
Endotoxin levels were measured in S and N proteins using the Toxin Sensor Chromogenic LAL 446
Endotoxin Assay Kit, from GenScript/VWR, Cat # L00350C. Final concentrations of LPS was <1 447
EU per well (0.18 for S, 0.43 for N). Influenza virus strain A/Peurto Rico/8/1934 (PR8) was grown 448
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22
in embryonated chicken eggs and tissue culture infectious dose determined by infection of MDCK 449
cells (58). 450
451
15-mer peptides overlap ped by 11 amino acids spanning most of full protein sequence of N, 452
membrane (M), envelope (Env), and RBD/TM/cytoplasmic domains of S protein of SARS-CoV-453
2 were synthesized (GeneScript). To stimulate PBMC, N-master peptide pool with102 peptides, 454
Env-master peptide pool with 12 peptides, M-master peptide pool with 49 peptides and S -master 455
peptide pool with 49 peptides were used in the study. 456
457
T cell stimulation assay 458
For all stimulation assays, cryopreserved PBMCs were thawed at 37°C, washed twice with PBS 459
and cultured in complete media (RPMI 1640 supplemented with 10% FBS, 2 -ME, sodium 460
pyruvate, penicillin, streptomycin and non -essential amino acids (Gibco)) at 37°C with 5% CO 2. 461
2x106 PBMCs were plated per well in 96-well round bottom plates for 18h with 1 μg/ml S, 1 μg/ml 462
N, 3 μg/ml OC43 S or 100 HAU/ml live PR8. PBMCs were cultured with 1 μg/ml BSA (Sigma-463
Aldrich) as a negative control. GolgiStop (BD Biosciences) containing monensin and GolgiPlug 464
(BD Biosciences) containing brefeldin A was added in the last 6h of the culture. As a positive 465
control, 50 ng/ml PMA (Sigma -Aldrich), 1 μg/ml ionomycin (Sigma -Aldrich), GolgiStop and 466
GolgiPlug were added to PBMCs cultured with complete media in the last 6h of culture. 467
468
To assess T cell recall responses to live PR8 c ompared to TIV (FLUZONE® High -Dose), cells 469
were either cultured with complete media, 100 HAU/ml PR8 or 1 μg/ml TIV for 18h. To determine 470
whether the addition of agonistic co -stimulatory antibodies increased the sensitivity of detection 471
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23
of ICC by flow cytometry, PBMCs were stimulated with 1ug/ml S or 1 μg/ml BSA, either with or 472
without 2 μg/ml anti -CD28 and 2 μg/ml anti -CD49d (BD Biosciences) for 18h. GolgiStop and 473
GolgiPlug were added in the last 6h of these cultures. 474
475
Intracellular cytokine staining 476
After culture, PBMCs were washed with PBS containing 2% FBS (FACS buffer). Cells were first 477
stained with anti -human CCR7 at 37°C for 10 min, followed by staining with Fixable Viability 478
Dye eFluor™ 506 (eBiosciences) to discern viable cells, and with anti-human CD3, CD4, CD27, 479
CD45RA, CXCR5, 4-1BB and HLA-DR for 20 min at 4°C. Cells were washed twice with FACS 480
buffer, then fixed with BD Cytofix/Cytoperm buffer (BD Biosciences) for 20 min. Following 481
fixation and permeabilization, cells were washed twice with 1X B D Perm/Wash buffer (BD 482
Biosciences) and stained with anti -human IFN-γ, TNF-α, IL-2 and IL -17A for 15 min at 4°C. 483
Antibodies used are as listed in Table S3. Samples were washed twice, then resuspended in FACS 484
buffer and acquired on the BD LSRFortessa X-20 flow cytometer using FACSDiva software. 485
486
Multiplex cytokine bead assay 487
2x106 PBMCs were seeded per well in 96-well round bottom plates with 1 μg/ml S, 1 μg/ml N, 3 488
μg/ml OC43 S, 1 μg/ml BSA or 100 HAU/ml PR8. Cell culture supernatants were collected after 489
48h of incubation. Cytokines in the supernatants were measured using the Human Th Cytokine 490
Panel (12-plex) LEGENDplex kit (Biolegend) with capture reagents specific for IL-2, IL-4, IL-5, 491
IL-6, IL-9, IL-10, IL-13, IL-17A, IL-17F, IL-22, IFN-γ and TNF-α. The assay was performed as 492
per the manufacturer’s instructions using a V -bottom plate. Samples were acquired on the BD 493
LSRFortessa X-20 flow cytometer. 494
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495
CFSE T cell proliferation assay 496
PBMC (2 x 106 cells/ml) were pre-labeled with 5µM of carboxyfluorescein diacetate succinimidyl 497
ester (CFSE; Thermo Fisher Scientific) in PBS with 2.5% FBS for 8 minutes in 37 °C water bath. 498
Excessive CFSE dye was removed by using 100% FBS and further rinsed with R-10 [RPMI1640, 499
FBS, Pen/Strep (Thermo Fisher Scientific), Glutamax (Thermo Fisher Scientific) and sodium 500
pyruvate (Thermo Fisher Scientific)]. Cells were then resuspended in R -10 [supplemented with 501
IU-IL 2 (BioLegend) and 2-mercaptoethanol (Themor Fisher)] and plated at 0.4x 106 cells per well 502
in a 96-well round-bottomed polystyrene plate at a final volume of 200 µl. These cells were pre -503
stimulated with 0.1µg of S, E, N and M master peptide pools or DMSO (negative control) or SEB 504
(positive control) for 5 days. At day 6, cells were re -stimulated with 1 µg/ml of master peptide 505
pools and the exocytosis was blocked by the addition of BD GolgiStop and BD GolgiPlug for 506
another 24 hours. At day 7, cells were prepared for flow c ytometry staining. LIVE/DEAD™ 507
fixable blue dead cell stain (Thermo Fisher Scientific) was used to determine the viability of cells 508
and then pre-blocked with Fc receptor blocking solution (Human TruStain FcX TM; BioLegend) 509
prior to extracellular staining with anti-human CD3 [APC-Cy7: clone SK7 (BD)], anti-human CD4 510
[BV711: clone SK3 (BD)] and anti-human CD8 [PE: clone HIT8a (BD)]. Cells were then fixed 511
with BD Cytofix and permeabilized with BD Perm/Wash as per the manufacturer’s protocol and 512
stained with anti-human IFNg- [APC: clone 4S.B3 (BD)] and anti-human granzyme B [BV421: 513
clone GB11(BD)]. Samples were acquired on the BD LSRFortessa X -20 flow cytometer. Net 514
peptide pool induced CFSElow responses were calculated as the percentage of CFSElow cells after 515
stimulation with master pool peptides minus the percentage of CFSElow cells after stimulation with 516
DMSO. 517
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25
518
WT SARS-CoV-2 Neutralization Assay 519
100 μl of Vero E6 cells were seeded into a 96 well plate at 0.3x106 cells/mL and were incubated 520
overnight for attachment. The following day, patient serum was heat inactivated at 56 °C for 30 521
minutes, then serially diluted 8 times, 2-fold downwards starting at 1:10. Equal volumes of SARS-522
CoV-2 were added to all wells with a final concentration of 100 TCID/well. The plate was 523
incubated for 1h, shaking every 15 minutes. After incubation, all the media from the Vero E6 cells 524
was removed and 50 μl of the SARS-CoV-2/Serum co-culture was used to inoculate the Vero E6 525
cells. The infection was done for 1h, shaking every 15 minutes. After infection, the inoculum was 526
removed and growth media was added. CPE was tracked over the course of 5 days. Samples were 527
run in quadruplicates. 528
529
Protein-based surrogate neutralization ELISA 530
A protein-based surrogate neutralization ELISA was performed as described in (36). Essentially, 531
100 ng of purified RBD express ed in FreeStyle 293 -F cells was immobilized overnight onto 96 -532
well Immulon HBX plates (2 µg/ml), blocked, and incubated with four, 2-fold dilutions of patient 533
samples, starting at 4 µl. Biotinylated ACE2 purified from FreeStyle 293 -F cells was added (50 534
ng/well, incubated for 1hr), followed by streptavidin poly-HRP (Sigma, #S2438; 22 ng). 1-Step™ 535
Ultra TMB-ELISA Substrate Solution (ThermoFisher, #34029) was added for 7.5 min at room 536
temperature and the reaction was quenched with 50 µL stop solution containi ng 0.16 N sulfuric 537
acid (ThermoFisher, #N600) and the optical density at 450 nm were read. The area under the curve 538
of each dilution series for each patient plasma sample was calculated in R (version 4.0.1). 539
540
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26
Data and Statistical analysis 541
Flow cytometry da ta were analyzed using FlowJo v10. Multiplex cytokine bead data were 542
analyzed using the LEGENDplex Data Analysis Software v8. All statistical and graphical analyses 543
were performed using Graphpad Prism v6. Illustrations were created with Biorender.com. When 544
data are shown in the absence of the control group, the values are calculated by subtracting 545
Background
signal as indicated by “Δ” in panel labels . Background signal is defined by the 546
frequency of cells expressing a particular cytokine, or concentration of an analyte, in wells cultured 547
with BSA. The response was considered positive if the response to SARS-CoV-2 antigen was 10% 548
higher than the response to BSA. For multiplex cytokine data, the limits of detection are indicated 549
with dashed lines. Pair-wise co mparisons were made by two -tailed Wilcoxon test, one -way 550
ANOVA with Holm -Sidak’s multiple comparisons test or nonparametric Dunn’s multiple 551
comparisons test as indicated in figure legends. Correlation analyses were performed by computing 552
the Pearson or Spearman correlation coefficient. Statistical outliers were excluded from analyses 553
by Grubb’s test, but all data points are displayed in figure panels. 554
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Author contributions 555
JCL, WHK, PB, JL, KTA and BR performed experiments 556
FYY, JCL and MG processed patient samples 557
JL and JMR provided purified S protein, 558
AM, AC and MO recruited patients 559
SM provided SARS-CoV-2 virus 560
KTA, BR and AGC provided direct binding ELISA surrogate neutralization ELISA data 561
JCL, WHK, PB, MO and THW designed the experiments and wrote the paper. 562
563
Acknowledgments 564
We thank Birinder Ghumman for technical assistance, Payman Samavarchi-Tehrani, Derek 565
Ceccarelli and Frank Sicheri, Mt. Sinai Hospital Toronto, for recombinant N protein purification 566
and Jennifer Gommerman for helpful discussion. This research was funded by a FAST grant from 567
the Thistledown foundation (to T.H.W.) and by a grant VR1-172711 from the Canadian Institutes 568
of Health research to T.H.W., M.O. and A.C.G. M.O. receives funding from the Ontario HIV 569
Treatment Network (OHTN), the Li Ka Shing Knowledge Institute, and the Juan and Stefania fund 570
for COVID-19 and other virus infections. Funding for the development of the assays in the Gingras 571
lab was provided through generous donations from the Royal Bank of Canada (RBC), QuestCap 572
and the Krembil Foundation to the Sinai Health System Foundation; the equipment used is housed 573
in the Network Biology Collaborative Centre at the Lunenfeld-Tanenbaum Research Institute, a 574
facility supported by Canada Foundation for Innovation funding, by the Ontarian Government and 575
by Genome Canada and Ontario Genomics (OGI-139). JCL and KTA were recipients of Ontario 576
Graduate Scholarships. 577
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References
578
579
1. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A Novel Coronavirus from 580
Patients with Pneumonia in China, 2019. N Engl J Med. 2020;382(8):727-33. 581
2. Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, et al. A pneumonia outbreak 582
associated with a new coronavirus of probable bat origin. Nature. 2020;579(7798):270-3. 583
3. Wu F, Zhao S, Yu B, Chen YM, Wang W, Song ZG, et al. A new coronavirus associated 584
with human respiratory disease in China. Nature. 2020;579(7798):265-9. 585
4. Chandrashekar A, Liu J, Martinot AJ, McMahan K, Mercado NB, Peter L, et al. SARS-586
CoV-2 infection protects against rechallenge in rhesus macaques. Science 587
101126/scienceabc4776. 2020. 588
5. Bao L, Deng W, Gao H, Xiao C, Liu J, Xue J, et al. Lack of Reinfection in Rhesus 589
Macaques Infected with SARS-CoV-2. BioRXIV 590
https://doiorg/101101/20200313990226. 2020. 591
6. Long QX, Liu BZ, Deng HJ, Wu GC, Deng K, Chen YK, et al. Antibody responses to 592
SARS-CoV-2 in patients with COVID-19. Nat Med. 2020;26(6):845-8. 593
7. Long QX, Tang XJ, Shi QL, Li Q, Deng HJ, Yuan J, et al. Clinical and immunological 594
assessment of asymptomatic SARS-CoV-2 infections. Nat Med 101038/s41591-020-595
0965-6. 2020. 596
8. Zhao J, Yuan Q, Wang H, Liu W, Liao X, Su Y, et al. Antibody responses to SARS-597
CoV-2 in patients of novel coronavirus disease 2019. Clin Infect Dis 101093/cid/ciaa344. 598
2020. 599
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
29
9. Okba NMA, Muller MA, Li W, Wang C, GeurtsvanKessel CH, Corman VM, et al. 600
Severe Acute Respiratory Syndrome Coronavirus 2-Specific Antibody Responses in 601
Coronavirus Disease Patients. Emerg Infect Dis. 2020;26(7):1478-88. 602
10. Thevarajan I, Nguyen THO, Koutsakos M, Druce J, Caly L, van de Sandt CE, et al. 603
Breadth of concomitant immune responses prior to patient recovery: a case report of non-604
severe COVID-19. Nat Med. 2020;26(4):453-5. 605
11. Ni L, Ye F, Cheng ML, Feng Y, Deng YQ, Zhao H, et al. Detection of SARS-CoV-2-606
Specific Humoral and Cellular Immunity in COVID-19 Convalescent Individuals. 607
Immunity. 2020;52(6):971-7 e3. 608
12. Crawford KH, Dingens AS, Eguia R, Wolf CR, Wilcox N, and al. e. Dynamics of 609
neutralizing antibody titers in the months after SARS-CoV-2 infection. MedRXIv 610
2020;doi: https://doi.org/10.1101/2020.08.06.20169367. 611
13. Wajnberg A, Amanat F, Firpo A, Altman D, Bailey M, and al. e. SARS-CoV-2 infection 612
induces robust, neutralizing antibody responses that are stable for at least three months. 613
MedRXiv doi: https://doiorg/101101/2020071420151126. 2020. 614
14. Ibarrondo FJ, Fulcher JA, Goodman-Meza D, Elliott J, Hofmann C, Hausner MA, et al. 615
Rapid Decay of Anti-SARS-CoV-2 Antibodies in Persons with Mild Covid-19. N Engl J 616
Med 101056/NEJMc2025179. 2020. 617
15. Seow J, Graham C, Merrick B, Acors S, Steel KAJ, Hemmings O, et al. Longitudinal 618
evaluation and decline of antibody responses in SARS-CoV-2 infection. MedRIXIV 619
https://wwwmedrxivorg/content/101101/2020070920148429v1 620
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
30
16. Rodda LB, Netland J, Shehata L, Pruner KB, Morawski P, and al. e. Functional SARS-621
CoV-2-specific immune memory persists after mild COVID-19. MedRXIv doi: 622
https://doiorg/101101/2020081120171843. 2020 623
17. Isho B, Abe KT, Zuo M, Jamal AJ, Rathod B, and al. e. Evidence for sustained mucosal 624
and systemic antibody responses to SARS-CoV-2 antigens in COVID-19 patients. 625
medRxiv 2020080120166553; doi: https://doiorg/101101/2020080120166553. 626
18. Crotty S. T follicular helper cell differentiation, function, and roles in disease. Immunity. 627
2014;41(4):529-42. 628
19. Tang F, Quan Y, Xin ZT, Wrammert J, Ma MJ, Lv H, et al. Lack of peripheral memory B 629
cell responses in recovered patients with severe acute respiratory syndrome: a six-year 630
follow-up study. J Immunol. 2011;186(12):7264-8. 631
20. Ng OW, Chia A, Tan AT, Jadi RS, Leong HN, Bertoletti A, et al. Memory T cell 632
responses targeting the SARS coronavirus persist up to 11 years post-infection. Vaccine. 633
2016;34(17):2008-14. 634
21. Le Bert N, Tan AT, Kunasegaran K, Tham CYL, Hafezi M, Chia A, et al. SARS-CoV-2-635
specific T cell immunity in cases of COVID-19 and SARS, and uninfected controls. 636
Nature 101038/s41586-020-2550-z. 2020. 637
22. Grifoni A, Weiskopf D, Ramirez SI, Mateus J, Dan JM, Moderbacher CR, et al. Targets 638
of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease 639
and Unexposed Individuals. Cell. 2020;181(7):1489-501 e15. 640
23. Weiskopf D, Schmitz KS, Raadsen MP, Grifoni A, Okba NMA, Endeman H, et al. 641
Phenotype and kinetics of SARS-CoV-2-specific T cells in COVID-19 patients with 642
acute respiratory distress syndrome. Sci Immunol. 2020;5(48). 643
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
31
24. Gimenez E, Albert E, Torres I, Remigia MJ, Alcaraz MJ, Galindo MJ, et al. SARS-CoV-644
2-reactive interferon-gamma-producing CD8+ T cells in patients hospitalized with 645
coronavirus disease 2019. J Med Virol 101002/jmv26213. 2020. 646
25. Neidleman J, Luo X, Frouard J, Xie G, Gurjot G, Stein ES, et al. SARS-CoV-2-specific T 647
cells exhibit unique features characterized by robust helper function, lack of terminal 648
differentiation, and high proliferative potential. bioRxiv 101101/20200608138826. 2020. 649
26. Peng Y, Mentzer AJ, Liu G, Yao X, Yin Z, Dong D, et al. Broad and strong memory 650
CD4 (+) and CD8 (+) T cells induced by SARS-CoV-2 in UK convalescent COVID-19 651
patients. bioRxiv 101101/20200605134551. 2020. 652
27. Sekine T, Perez-Potti A, Rivera-Ballesteros O, and al. e. Robust T cell immunity in 653
convalescent individuals with asymptomatic or mild COVID-19. Cell 654
DOI:https://doiorg/101016/jcell202008017. 2020. 655
28. Braun J, Loyal L, Frentsch M, Wendisch D, Georg P, Kurth F, et al. SARS-CoV-2-656
reactive T cells in healthy donors and patients with COVID-19. Nature 101038/s41586-657
020-2598-9. 2020. 658
29. Altmann DM, and Boyton RJ. SARS-CoV-2 T cell immunity: Specificity, function, 659
durability, and role in protection. Sci Immunol. 2020;5(49). 660
30. Sette A, and Crotty S. Pre-existing immunity to SARS-CoV-2: the knowns and 661
unknowns. Nat Rev Immunol. 2020;20(8):457-8. 662
31. Mateus J, Grifoni A, Tarke A, Sidney J, Ramirez SI, Dan JM, et al. Selective and cross-663
reactive SARS-CoV-2 T cell epitopes in unexposed humans. Science 664
101126/scienceabd3871. 2020. 665
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
32
32. Bitmansour AD, Douek DC, Maino VC, and Picker LJ. Direct ex vivo analysis of human 666
CD4(+) memory T cell activation requirements at the single clonotype level. J Immunol. 667
2002;169(3):1207-18. 668
33. Crotty S. Follicular helper CD4 T cells (TFH). Ann Rev Immunol. 2011;29:621-63. 669
34. He J, Tsai LM, Leong YA, Hu X, Ma CS, Chevalier N, et al. Circulating precursor 670
CCR7(lo)PD-1(hi) CXCR5(+) CD4(+) T cells indicate Tfh cell activity and promote 671
antibody responses upon antigen reexposure. Immunity. 2013;39(4):770-81. 672
35. Morita R, Schmitt N, Bentebibel SE, Ranganathan R, Bourdery L, Zurawski G, et al. 673
Human blood CXCR5(+)CD4(+) T cells are counterparts of T follicular cells and contain 674
specific subsets that differentially support antibody secretion. Immunity. 2011;34(1):108-675
21. 676
36. Abe KT, Li J, Samson R, Samavarchi-Tehrani P, Valcourt EJ, and al. e. A simple protein-677
based SARS-CoV-2 surrogate neutralization assay. bioRxiv 20200710197913; doi: 678
https://doiorg/101101/20200710197913. 679
37. Ciuffreda D, Comte D, Cavassini M, Giostra E, Buhler L, Perruchoud M, et al. 680
Polyfunctional HCV-specific T-cell responses are associated with effective control of 681
HCV replication. Eur J Immunol. 2008;38(10):2665-77. 682
38. Rosenberg ES, Billingsley JM, Caliendo AM, Boswell SL, Sax PE, Kalams SA, et al. 683
Vigorous HIV-1-specific CD4+ T cell responses associated with control of viremia. 684
Science. 1997;278(5342):1447-50. 685
39. Amyes E, Hatton C, Montamat-Sicotte D, Gudgeon N, Rickinson AB, McMichael AJ, et 686
al. Characterization of the CD4+ T cell response to Epstein-Barr virus during primary and 687
persistent infection. J Exp Med. 2003;198(6):903-11. 688
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
33
40. Appay V. The physiological role of cytotoxic CD4(+) T-cells: the holy grail? Clin Exp 689
Immunol. 2004;138(1):10-3. 690
41. Jameson J, Cruz J, and Ennis FA. Human cytotoxic T-lymphocyte repertoire to influenza 691
A viruses. J Virol. 1998;72(11):8682-9. 692
42. De Biasi S, Meschiari M, Gibellini L, Bellinazzi C, Borella R, Fidanza L, et al. Marked T 693
cell activation, senescence, exhaustion and skewing towards TH17 in patients with 694
COVID-19 pneumonia. Nat Commun. 2020;11(1):3434. 695
43. Diao B, Wang C, Tan Y, Chen X, Liu Y, Ning L, et al. Reduction and Functional 696
Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19). Front 697
Immunol. 2020;11:827. 698
44. Tough DF, Rioja I, Modis LK, and Prinjha RK. Epigenetic Regulation of T Cell Memory: 699
Recalling Therapeutic Implications. Trends Immunol. 2020;41(1):29-45. 700
45. Mittal SK, and Roche PA. Suppression of antigen presentation by IL-10. Curr Opin 701
Immunol. 2015;34:22-7. 702
46. Chen G, Wu D, Guo W, Cao Y, Huang D, Wang H, et al. Clinical and immunological 703
features of severe and moderate coronavirus disease 2019. J Clin Invest. 704
2020;130(5):2620-9. 705
47. Lee JS, Park S, Jeong HW, Ahn JY, Choi SJ, Lee H, et al. Immunophenotyping of 706
COVID-19 and influenza highlights the role of type I interferons in development of 707
severe COVID-19. Sci Immunol. 2020;5(49). 708
48. Schultheiss C, Paschold L, Simnica D, Mohme M, Willscher E, von Wenserski L, et al. 709
Next-Generation Sequencing of T and B Cell Receptor Repertoires from COVID-19 710
Patients Showed Signatures Associated with Severity of Disease. Immunity. 2020. 711
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
34
49. Sterlin D, Mathian A, Miyara M, Mohr A, Anna F, and al. e. IgA dominates the early 712
neutralizing antibody response to SARS-CoV-2. MedRXIV 713
doiorg/101101/2020061020126532. 2020. 714
50. Cunningham AC, Zhang JG, Moy JV, Ali S, and Kirby JA. A comparison of the antigen-715
presenting capabilities of class II MHC-expressing human lung epithelial and endothelial 716
cells. Immunology. 1997;91(3):458-63. 717
51. Kalb TH, Chuang MT, Marom Z, and Mayer L. Evidence for accessory cell function by 718
class II MHC antigen-expressing airway epithelial cells. Am J Respir Cell Mol Biol. 719
1991;4(4):320-9. 720
52. Wosen JE, Mukhopadhyay D, Macaubas C, and Mellins ED. Epithelial MHC Class II 721
Expression and Its Role in Antigen Presentation in the Gastrointestinal and Respiratory 722
Tracts. Front Immunol. 2018;9:2144. 723
53. Zhou R, To KK, Wong Y-C, Liu L, Zhou B, LI X, et al. Acute SARS-CoV-2 infection 724
impairs dendritic cell and T cell responses. Immunity 725
https://doiorg/101016/jimmuni202007026. 2020. 726
54. Wagar LE, Rosella L, Crowcroft N, Lowcock B, Drohomyrecky PC, Foisy J, et al. 727
Humoral and cell-mediated immunity to pandemic H1N1 influenza in a Canadian cohort 728
one year post-pandemic: implications for vaccination. PloS one. 2011;6(11):e28063. 729
55. Pallesen J, Wang N, Corbett KS, Wrapp D, Kirchdoerfer RN, Turner HL, et al. 730
Immunogenicity and structures of a rationally designed prefusion MERS-CoV spike 731
antigen. Proc Natl Acad Sci U S A. 2017;114(35):E7348-E57. 732
56. Fairhead M, and Howarth M. Site-specific biotinylation of purified proteins using BirA. 733
Methods
Mol Biol. 2015;1266:171-84. 734
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
35
57. Li Z, Michael IP, Zhou D, Nagy A, and Rini JM. Simple piggyBac transposon-based 735
mammalian cell expression system for inducible protein production. Proc Natl Acad Sci 736
U S A. 2013;110(13):5004-9. 737
58. Cottey R, Rowe CA, and Bender BS. In: Coligan JE, Kruisbeek AM, Margulies DH, 738
Shevach EM, and Strober W eds. New York: John Wiley and Sons; 2001: 19.1.7-.1.8. 739
740
741
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
36
Figures and Figure Legends 742
743
744
745
746
Figure 1. Intracellular cytokine responses to Spike and N proteins in convalescent COVID -747
19 subjects by flow cytometry. Cytokine production by SARS-CoV-2-specific CD4+ T cells after 748
18h of incubation with S, N or Influenza A PR8. Graphs and representative flow cytometry plots 749
show the frequency of CD4+ T cells expressing: (A) IFN-γ (n=13), (B) TNF-α (n=12) and (C) IL-750
2 (n=13). One donor exhibited high background TNF-α+ CD4+ T cells and was determined to be 751
an outlier by the Grubb’s test. Although this data point is shown in all panels, it was excluded from 752
statistical analysis of TNF-α+ CD4+ T cells. Pair-wise comparisons were made in (A)-(C) by two-753
tailed Wilcoxon test. *p<0.05, **p<0.01, ***p<0.001. 754
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
37
755
Figure 2. Comparison of CD4+ T cell responses to SARS -CoV-2 or Influenza A virus. (A) 756
Frequency of cells expressing IFN -γ, TNF -α and/or IL -2 as a proportion of total cytokine 757
producing cells. (B) Ratio of the %IFN-γ+:TNF-α+ CD4+ T cells in donors producing both 758
cytokines (n=9). (C) Representative flow cytometry plot of CD27 and CD45RA expression by 759
total CD4+ T cells and TNF-α+ CD4+ T cells (n=9). The distribution of memory subsets of TNF-760
α+ CD4+ T cells is shown for the donors with a TNF -α response. Graphs show mean±SD. (D) 761
Graphs show the %CD4+ T cells co -expressing HLA -DR and 4 -1BB. Representative flow 762
cytometry plots show the expression of HLA-DR and 4-1BB by total CD4+ T cells, amd TNF-α+ 763
and IL-2+ CD4+ T cells after stimulation with Spike. (E) The frequency of TNF-α+, IFN-γ+ and 764
HLA-DR+4-1BB+ CD4+ T cells versus days since symptom onset. Pair -wise comparisons were 765
made in (A), (B) and (D) by two-tailed Wilcoxon test and in (C) by one-way ANOVA with Holm-766
Sidak’s multiple comparisons test. *p<0.05, **p<0.01, ****p<0.0001. 767
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
38
768
Figure 3. Recall responses of SARS-CoV-2 convalescent PBMC based on cytokine secretion. 769
Cytokines in cell culture supernatants after 48h stimulation with S, N or PR8 as quantified by the 770
multiplex cytokine bead assay (n=13). Graphs show (A) IFN-γ, (B) TNF-α, (C) IL-2, (D) IL-10, 771
(E) IL-13, and (F) IL-6. (G) Ratio of IFN-γ: TNF-α and IFN-γ:IL-10 in cell culture supernatants 772
(Spike n=6, N n=11, PR8 n=11). Graphs show mean ± SD. (H) The levels of IFN-γ, TNF-α, and 773
IL-10 versus days since symptom onset. OM8099 exhibited high background TNF -α and was 774
determined to be an outlier by the Grubb’s test. Although this data point is shown in (B), it was 775
excluded from statistical analysis of TNF-α responses. Pair-wise comparisons were made by two-776
tailed Wilcoxon test for (A)-(F). Nonparametric Dunn’s multiple comparisons test was performed 777
for (G). Graphs show mean±SD. *p<0.05, **p<0.01, ***p<0. 001. 778
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
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39
779
Figure 4. pTfh responses to SARS -CoV-2 antigens. (A) Graphs and representative flow 780
cytometry plots show %IL-2+ pTfh cells in response to Spike, N and PR8 after 18h of stimulation 781
(n=13). (B) %IL-2+ pTfh versus days since symptom onset. (C) Correlation between S-RBD or N 782
serum IgG and %IL-2+ pTfh. (D) Correlation between S-RBD or N serum IgA and %IL-2+ pTfh. 783
(E) Correlation between viral neutralization titres and %IL-2+ pTfh or between S-RBD IgG AUC 784
in a surrogate neutralization ELISA with human ACE2 and %IL -2+ pTfh. Serum antibody titres 785
were normalized to a positive control well. Pair-wise comparisons were made by two -tailed 786
Wilcoxon test for (A). Correlation analysis for (C)-(E) was performed by Pearson’s correlation. 787
***p<0.001. 788
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40
789
Figure 5. Correlation analysis between CD4+ T cell responses, serum antibodies and virus 790
neutralization. Correlation analysis was performed between (A) S-RBD or N serum IgG and %IL-791
2+ CD4+ T cells, (B) between S-RBD or N serum IgA and % IL-2+ CD4+ T cells, (C) between 792
virus neutralization titres or S-RBD IgG AUC and %IL-2+ CD4+ T cells, and (D) between virus 793
neutralization titres and disease severity . Serum antibody titres were normalized to a positive 794
control well. C orrelation analysis was performed by Pearson correlation in (A)-(C), and by 795
Spearman correlation in (D). 796
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41
797
798
Figure 6. T cells proliferation responses induced by master pool peptides (E, M, N , S) in 799
convalescent COVID-19 patients. (A) T cell proliferation assay setup. PBMCs were pre-labeled 800
with CFSE, pre-stimulated with 0.1 µg/ml of master pool peptides for 5 days, then restimulated 801
with 1µg of master pool peptides on day 6 for 24 hours. (B) Representative flow cytometry plots 802
of CFSE fluorescence by CD3+ T cells. (C) Net master pool peptides induced T cell proliferative 803
responses from convalescent asymptomatic (Asymp, n=1), mild (n=6), moderate (n=3), severe 804
(n=3) and SARS-1 (n=1) patients. Net CFSElow percentages were calculated by subtracting the 805
DMSO stimulated percentages from the master pool peptides. The horizontal dashed line at 0.5% 806
and 2.0% indicates weak and strong positive responses, respectively. (D) Comparison of T cell 807
proliferative responses from asymptomatic (n=1), mild (n=6), moderate (n=2), severe (n=3) and 808
SARS-1 (n=1) convalescent patients against master pool peptides (E, M, N, and S). (E) The 809
frequency of CD4+ and CD8+ T cells within CFSElow CD3+ T cells in each patient. 810
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
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42
811
Figure 7. IFN-g/Granzyme B producing proliferating T cells . The percentage of IFN -812
g/Granzyme B co-producing (A) CD4+ or (B) CD8+ from CD3+ CFSE low T cells from 813
convalescent asymptomatic (n=1), mild (n=6), moderate (n=2), severe (n=3) and SARS -1 (n=1) 814
patients. (C) Correlation analysis between S-master peptide pool stimulated IFN-g and Granzyme 815
B co-producing CD4+ T cells and %IL-2+ pTfh cells in response to Spike. Correlation analysis 816
between virus neutralization titres (IC50) and (D) E-master peptides pool stimulated IFN-g 817
producing CD4+ T cells, or (E) E-master peptides pool stimulated IFN-g and Granzyme B co-818
producing CD4+ T cells or (F) M-master peptides pool stimulated IFN-g and Granzyme B co-819
producing CD4+ T cells. Pearson’s correlation test (n=12, SARS-1 patient excluded). Asymp: 820
asymptomatic. 821
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43
Table I. Clinical Characteristics of Participants 822
823
ID
Days from onset of
symptoms Clinical features* Age Sex
OM8072 50 COVID-19 recovered; moderate 56 male
OM8073 50 COVID-19 recovered; asymptomatic 56 female
OM8074 25 COVID-19 recovered; mild 27 male
OM8076 41 COVID-19 recovered; mild 61 male
OM8077 37 COVID-19 recovered; mild 31 male
OM8078 36 COVID-19 recovered; mild 64 female
OM8081 31 COVID-19 recovered; mild 60 male
OM8082 35 COVID-19 recovered; mild 42 female
OM8083 29 COVID-19 recovered; severe 50 male
OM8086 27 COVID-19 recovered; severe 54 male
OM8087 65 COVID-19 recovered; moderate 62 male
OM8094 ~90 COVID-19 recovered; moderate 72 female
OM8099 86 COVID-19 recovered; severe 43 male
OM8085 17 years SARS-1, recovered, mild 67 female
824
* Mild illness- not admitted to hospital; moderate illness - required hospital admission; severe 825
illness- ICU admission 826
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44
Supplemental Material 827
828
Figure S1. Gating strategy and controls. (A) Representative gating strategy for pTfh and non -829
pTfh CD4+ T cells. (B) Representative flow cytometry plots and graphs for CD4+ T cell IFN-γ, 830
TNF-α, and IL-2 responses to OC43 S and PMA/Ionomycin (n=13) , gated on non-pTfh CD4+ T 831
cells. Pair-wise comparisons were made by two-tailed Wilcoxon test. ***p<0.001. 832
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
45
833
Figure S2. Deter mining optimal stimulation conditions. (A) CD4+ T cell IL -2 and TNF -a 834
responses, and pTfh IL-2 responses, to two different concentrations of spike (n=10). (B) CD4+ T 835
cell IFN-γ, TNF-α and IL -2 responses to PR8 compared to TIV (n=8). (C) CD4+ T cell IFN-γ, 836
TNF-α and IL-2 responses to Spike with or without agonistic co-stimulatory antibodies anti-CD28 837
and anti-CD49d (n=3). (D) Representative flow cytometry plots and graphs showing pooled results 838
from 3 independent experiments performed using PBMCs from the sa me group of donors to 839
confirm assay reproducibility (n=2 per experiment). Nonparametric Dunn’s multiple comparisons 840
test was performed for (A) and (B). Two-way ANOVA was used to compare control and spike 841
stimulated CD4+ T cells with or without co-stimulatory antibodies in (C). *p<0.05, **p<0.01. 842
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46
843
Figure S3. Healthy donor intracellular cytokine responses to viral antigen by flow cytometry. 844
Representative flow cytometry plots and graphs for CD4+ T cell IFN-γ, TNF-a and IL-2 responses 845
are shown in response to S, N, OC43 S or PR8 (n=5). Pair -wise comparisons were made by two-846
tailed Wilcoxon test. **p<0.01, ****p<0.0001. 847
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
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47
848
Figure S4. Cytokines secreted in response to PR8 and SARS -CoV-2 antigens. Graphs show 849
levels of (A) TNF-α, IFN-γ, IL-2, IL-10, IL-6 and IL-13, (B) IL-9, IL-17A and IL-22 in SARS-850
CoV-2 convalescent PBMC cultures (n=13), and (C) levels of IFN-γ, TNF-α, IL-2, IL-10, IL-13 851
and IL-6 in healthy donor PBMC cultures (n=3) in response to S, N or PR8. Nonparametric Dunn’s 852
multiple comparisons test was performed for (A). Pair-wise comparisons were made by two-tailed 853
Wilcoxon test in (B) and (C). OM8099 exhibited high background TNF-α and was determined to 854
be an outlier by the Grubb’s test. Although this data point is shown in all panels, it was excluded 855
from statistical analysis of TNF -α responses. Graphs show mean±SD. *p<0.05, **p<0.01, 856
***p<0.001, ****p<0.0001. 857
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48
858
Figure S5. Cytokines secreted in response to OC43 S. Graphs show levels of IFN-γ, TNF-α, IL-859
2, IL-10, IL-13 and IL-6 in (A) SARS-CoV-2 convalescent PBMC cultures (n=13) and (B) healthy 860
donor PBMC cultures (n=3) in response to OC43 S. Pair -wise comparisons wer e made by two -861
tailed Wilcoxon test. *p<0.05, **p<0.01, ***p<0.001. 862
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49
863
864
Figure S 6. Flow cytometry gating strategy for T cells proliferative assay . Representative 865
gating strategy for CFSElow CD3+ T cells, CD4+/CD8+ T cells and IFN-g/Granzyme B producing 866
CD4+ /CD8+ T cells. 867
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
50
Table S1. Summary of ICC, Multiplex Elisa and pTfh responses to S and N proteins and 868
influenza A PR8 (excel file, uploaded separately). 869
870
Table S2. Summary of T cell proliferation responses stimulated by four different COVID-19 871
master peptides pools (E, M, N, and S) for each patient (excel file, uploaded separately). 872
873
Table S3 - Antibody list 874
875
Antibody Clone Source Catalog Number
Fixable Viability Dye eFluor™ 506 N/A eBiosciences 65-0866-14
anti-CD3 (AlexaFluor 700) UCHT1 BioLegend 300424
anti-CD4 (BUV395) RPA-T4 BD Biosciences 564724
anti-CD27 (BUV737) L128 BD Biosciences 612829
anti-CD45RA (BV786) HI100 BD Biosciences 563870
anti-CCR7 (BV605) G043H7 BioLegend 353224
anti-CXCR5 (BV421) J252D4 BioLegend 356920
anti-4-1BB (BV711) 4B4-1 BD Biosciences 740798
anti-HLA-DR (FITC) L243 BioLegend 307604
anti-IFN-γ (PE-Cy7) 4S.B3 BioLegend 502528
anti-TNF-α (PerCP/Cyanine5.5) Mab11 BioLegend 502926
anti-IL-2 (PE-eFluor 610) MQ1-17H12 eBiosciences 61-7029-42
anti-IL-17A (APC-eFluor 780) eBio64DEC17 eBiosciences 47-7179-42
anti-CD28 (Purified) 9.3 (In house) N/A
anti-CD49d (Purified) L25 BD Biosciences 340976
anti-CD3 (APC-Cy7) SK7 BD Biosciences 557382
anti-CD4 (BV711) SK3 BD Biosciences 563028
anti-CD8 (PE) HIT8a BD Biosciences 555635
anti-IFNg (APC) 4S.B3 BD Biosciences 551385
anti-granzyme B (BV421) GB11 BD Biosciences 563389
LIVE/DEAD™ fixable blue dead
cell stain N/A
Thermo Fisher
Scientific L23105
Human TruStain FcXTM N/A BioLegend 422301
876
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
INFLUENZA
SARS-CoV-2
IL-2 TNF-αIFN-γ
TNF-α IFN-γIL-2
CD8TFHCD4 TH1
. CC-BY-NC-ND 4.0 International licenseIt is made available under a
is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
The copyright holder for this preprintthis version posted September 1, 2020. ; https://doi.org/10.1101/2020.08.27.20183319doi: medRxiv preprint
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